| Monkeypox virus detection using pre-trained deep learning-based approaches C Sitaula, TB Shahi Journal of Medical Systems 46 (11), 78, 2022 | 153 | 2022 |
| Stock price forecasting with deep learning: A comparative study TB Shahi, A Shrestha, A Neupane, W Guo Mathematics 8 (9), 1441, 2020 | 121 | 2020 |
| Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets C Sitaula, A Basnet, A Mainali, TB Shahi Computational Intelligence and Neuroscience 2021 (1), 2158184, 2021 | 106 | 2021 |
| Recent advances in crop disease detection using UAV and deep learning techniques TB Shahi, CY Xu, A Neupane, W Guo Remote Sensing 15 (9), 2450, 2023 | 97 | 2023 |
| Fruit classification using attention-based MobileNetV2 for industrial applications TB Shahi, C Sitaula, A Neupane, W Guo Plos one 17 (2), e0264586, 2022 | 90 | 2022 |
| Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI M Bhandari, TB Shahi, B Siku, A Neupane Computers in Biology and Medicine 150, 106156, 2022 | 78 | 2022 |
| Nepali news classification using Naive Bayes, support vector machines and neural networks TB Shahi, AK Pant 2018 international conference on communication information and computing …, 2018 | 77 | 2018 |
| A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification TB Shahi, C Sitaula, N Paudel Computational Intelligence and Neuroscience 2022, 2022 | 61 | 2022 |
| Mobile SMS spam filtering for Nepali text using naïve bayesian and support vector machine TB Shahi, A Yadav International Journal of Intelligence Science 4 (01), 24-28, 2014 | 45 | 2014 |
| Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection C Sitaula, TB Shahi, S Aryal, F Marzbanrad Scientific reports 11 (1), 23914, 2021 | 39 | 2021 |
| Named Entity Recognition for Nepali Text Using Support Vector Machines SB Bam, TB Shahi Intelligent Information Management 6 (2), 21-29, 2014 | 39 | 2014 |
| Secure image encryption using chaotic, hybrid chaotic and block cipher approach N Chaudhary, TB Shahi, A Neupane Journal of Imaging 8 (6), 167, 2022 | 36 | 2022 |
| Natural language processing for Nepali text: a review TB Shahi, C Sitaula Artificial Intelligence Review 55 (4), 3401-3429, 2022 | 30 | 2022 |
| Machine learning methods for precision agriculture with UAV imagery: a review TB Shahi, CY Xu, A Neupane, W Guo Electronic Research Archive 30 (12), 4277-4317, 2022 | 27 | 2022 |
| Support vector machines based part of speech tagging for nepali text TB Shahi, TN Dhamala, B Balami International Journal of Computer Applications 70 (24), 2013 | 27 | 2013 |
| Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features C Sitaula, TB Shahi Journal of Ambient Intelligence and Humanized Computing 15 (3), 2047-2056, 2024 | 26 | 2024 |
| Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model M Bhandari, TB Shahi, A Neupane, KB Walsh Journal of Imaging 9 (2), 53, 2023 | 25 | 2023 |
| Deep learning-based framework for spatiotemporal data fusion: an instance of landsat 8 and sentinel 2 NDVI B Mishra, TB Shahi Journal of Applied Remote Sensing 15 (3), 034520-034520, 2021 | 20 | 2021 |
| Nepal stock exchange prediction using support vector regression and neural networks TB Pun, TB Shahi 2018 second international conference on advances in electronics, computers …, 2018 | 17 | 2018 |
| Nepali text document classification using deep neural network S Subba, N Paudel, TB Shahi Tribhuvan University Journal, 11-22, 2019 | 16 | 2019 |
Arjun Neupane, PhDSchool of Engineering and Technology, CQUniversity AustraliaVerified email at cqu.edu.au
